Kefan Xiao

According to our database, Kefan Xiao authored at least 11 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Universal Self-Consistency for Large Language Model Generation.

Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou

CoRR, 2023

PaLM 2 Technical Report.

Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.

CoRR, 2023

Efficiently Scaling Transformer Inference.

Reiner Pope, Sholto Douglas, Aakanksha Chowdhery, Jacob Devlin, James Bradbury, Jonathan Heek, Kefan Xiao, Shivani Agrawal, Jeff Dean

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Measuring the Impact of Programming Language Distribution.

Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta

Proceedings of the International Conference on Machine Learning, 2023

Natural Language to Code Generation in Interactive Data Science Notebooks.

Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Oleksandr Polozov, Charles Sutton

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Efficiently Scaling Transformer Inference.

Reiner Pope, Sholto Douglas, Aakanksha Chowdhery, Jacob Devlin, James Bradbury, Anselm Levskaya, Jonathan Heek, Kefan Xiao, Shivani Agrawal, Jeff Dean

CoRR, 2022

2020

Robust QoE-Driven DASH Over OFDMA Networks.

Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait

IEEE Trans. Multim., 2020

2019

TCP-Drinc: Smart Congestion Control Based on Deep Reinforcement Learning.

Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait

IEEE Access, 2019

2017

MAQ: A Multiple Model Predictive Congestion Control Scheme for Cognitive Radio Networks.

Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait

IEEE Trans. Wirel. Commun., 2017

2016

QoE-Driven Resource Allocation for DASH over OFDMA Networks.

Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait

Proceedings of the 2016 IEEE Global Communications Conference, 2016

Congestion Control for Infrastructure-Based CRNs: A Multiple Model Predictive Control Approach.

Kefan Xiao, Shiwen Mao, Jitendra K. Tugnait

Proceedings of the 2016 IEEE Global Communications Conference, 2016